Rendements boursiers canadiens : une analyse de facteurs macroéconomiques et financiers
Bibliographic record
Abstract
L'objectif de ce mémoire est de déterminer si la dimension du risque macroéconomique est incorporée dans le prix des actions canadiennes cotées en bourse sur le Toronto Stock Exchange. Une extension du modèle à trois facteurs de Fama et French (1992) est proposée afin d'inclure certains facteurs macroéconomiques, soit l'indice du taux de change effectif canadien de la Banque du Canada, l'écart entre les taux de long et de court terme, la variation du taux sans risque ainsi que l'indice de produits de base de la Banque du Canada, et de déterminer si ceux-ci permettent de mieux expliquer les rendements boursiers au Canada. Les estimations, réalisées sur une période allant de 2000 à 2015, montrent que seuls les facteurs du taux de change et de l'écart de taux d'intérêt sont incorporés dans le prix des actions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".